Web Reference: We present a nonlinear version of the well-known anomaly detection method referred to as the RX-algorithm. Extending this algorithm to a feature space associate. The Kernel-RX detector (KRXD) has attracted widespread interest in hyperspectral image processing with the utilization of nonlinear information. However, the kernelization of hyperspectral data leads to poor execution efficiency in KRXD. This paper ... There is a lack of shared hyperspectral data sets for detection purposes (Matteoli et al. 2010). Moreover, the available data sets contain few target samples with known ground truth of target locations for valid tests. Hence, most of the previous works published, especially those about the subpixel AD, have used simulated data for evaluating the de...
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